if you plan to be logging into any of the shared-screen option, and you are not familiar with the process, please try to call in 5 minutes before the start of the session so that we can work out the connection logistics. Help on this will generally not be available once the presentation starts. (MVB)

people who have difficulty accessing the shared screen service(s) may download the slides below and run them locally. The speaker will prompt you to advance the slides during the talk. The talk will feature some software demonstrations (not downloadable), so shared screen services is preferred. (MVC)

Please note that this session will be recorded, and the audio archives is expected to be made available as open content to our community membership and the public at-large under our prevailing open IPR policy. (MVG)

This is a part of the series of talks and discussions the revolves around the topic: "Ontologizing the Ontolog Body of Knowledge" during which this community will explore the "what's" and "how's" to the development of a semantically interoperable application, using the improved access to the content of Ontolog as a case in point. (MVP)

At this session, we will get a chance to take a peek at how people are doing it for a bleeding-edge research effort. In so doing, we hope to gain some insights and apply the learning to our own effort here. (MVQ)

CALO is one of DARPA's most ambitious efforts to develop a persistent
assistant that lives with, learns from, and supports users in managing
the complexities of their daily work lives. A multi-year project that
unites some 200+ researchers from 25 academic and commercial
organizations, the goal is to produce a single system where learning
happens "in vivo", inside an ever-evolving agent that can observe,
comprehend, reason, anticipate, act, and communicate.(MVV)

In this talk, we will first provide an overview of CALO: the what, the
how, the why. Next, we will discuss the engineering methods we use to
develop and maintain the ontology of CALO. CALO has some unusual
requirements, such as "Concept Learning" where the ontology is extended
and modified "in-the-wild" by machine learning algorithms. Finally, we
will demonstrate IRIS, a semantic desktop that serves as the office
environment that integrates best with CALO. IRIS leverages many of
CALO's techniques to ontology management, and being open source,
provides a distributable, transparent example of the approach.(MVW)

this will be a virtual session over a phone conference setting, augmented by shared computer screen support(MVY)

The session started with a brief session to get everyone access to the presentation material and the shared-screen session. Self-introduction round was skipped because we have more than 20 attendees (~15 min.) (MVZ)

Mr. Adam Cheyer is currently a Program Director in SRI's Artificial Intelligence Center, where he serves as Chief Architect of the CALO/PAL project, an ambitious effort to create a next-generation personal cognitive assistant. Previously, Mr. Cheyer was VP of Engineering at Dejima, a provider of natural interaction technology for mobile applications, and before that, VP of Engineering at Verticalnet, an enterprise software provider. As Senior Scientist and Co-Director of the Computer Human Interaction
Center (CHIC) at SRI International, Mr. Cheyer led a multidisciplinary team of researchers exploring web services, distributed knowledge, and pervasive computing. (MW4)